Senior Data Engineer

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu . If you have questions while submitting an application, please review these frequently asked questions .

Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please l og in to Workday to use the internal application process.

Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

• Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.

• Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.

The Data and Analytics Team within the Office of Technology and Digital Innovation (OTDI) at The Ohio State University manages the enterprise data reporting, analytics, and governance environments that support leaders, decision-makers, data analysts, and scientists across campus. Our vision is to enable a culture of data enablement and thought leadership through accurate, accessible information and innovative analytics.

This Senior Data Engineer position will help realize the design and build of ETL/ELT and other data integration processes for the Reporting and Analytics Environment, as well as other systems we manage within the department. Our current system implementations include cloud-based analytics solutions (IaaS, PaaS, SaaS) and interactions with internal OSU systems across the enterprise.

The technologies we use daily focus on modern data analytics architectures backed by big data tools. This role will utilize data integration methodologies and design practices to move data from source systems into a secure and governed data analytics and/or data hub environment. The work also focuses on making this data available to analysts, users, and systems.

The Senior Data Engineer will be responsible for engaging with other data engineers within the team, as well as collaborating with OTDI Infrastructure colleagues and specialists, to design and implement integrations from multiple systems into the team's data environments. It is expected that this resource will work to obtain and refine data requirements, build data integration flows, partner with data and visualization analysts on query optimization and tuning, and confer with data governance resources on metadata requirements.

Additionally, this role will involve providing production support for the systems we manage. The responsibilities include responding to help desk issues related to our systems, monitoring the production support queue, and addressing data flow failures in a timely manner. This includes participating in rotating off-hours and weekend on-call/pager duty.

Required Education and Experience:

Bachelor's Degree with a Major in Computer & Information Science or equivalent experience. 4 to 8 years in data integration methodologies, technologies, and tools such as:

• D emonstrated deep understanding of SQL and hands-on experience implementing ETL (or ELT) best practices at scale
• 3 years using Python, Java, Scala, or other programming languages for data processing (Python preferred)
• Familiar with modern data analytics technologies and techniques, such as cloud-based analytics environments (AWS, Azure, GCP), serverless coding, streaming, and micro-batch data loads code automation, continuous development, delivery, and integration
• Experience with web services/APIs (REST, SOAP), S/FTP, and data interchange formats (JSON, XML, CSV)
• Experience working with business and process analysts gathering requirements, as well as in collaborative data movement design and data governance

Desired Education and Experience:

• 4-8 years relevant experience
• Experience with the AWS or Azure data analytics component
• Experience with Tableau or other analytics tools
• Experience in higher education

This position maps to: Information Technology, Data Engineer, Specialized, and S3 (senior) .

The Targeted Hiring Range for this position is $99,000.00 to $105, 000.00.

Our goal is to foster a community of professionals with diverse skills, experiences, and backgrounds who actively collaborate to support the mission of the Ohio State University. We are committed to the personal and professional growth of individuals as they achieve their highest potential and support others along the way. In an ever-changing technology landscape, our employees are flexible, innovative, and adept problem-solvers.

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions .

The university is an equal opportunity employer, including veterans and disability.